• DocumentCode
    666922
  • Title

    End-point device compressed air consumption analysis by reverse engineering algorithm

  • Author

    Cupek, Rafal ; Folkert, Kamil ; Huczala, Lukasz ; Zonenberg, Dariusz ; Tomczyk, Jakub

  • Author_Institution
    Inst. of Inf., Silesian Univ. of Technol., Gliwice, Poland
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    7519
  • Lastpage
    7524
  • Abstract
    In this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices. Unlike the classical forward engineering approaches, which are based on a detailed compressed air system description, the presented solution is based on reverse engineering and needs very little initial data. The proposed analytical approach is based on observations of machine behaviour. The presented results can be easily applicable for the assessment of energy efficiency, monitoring the degradation parameters of machines and quickly detecting anomalies in existing compressed air end point devices.
  • Keywords
    compressed air systems; condition monitoring; energy conservation; reverse engineering; anomaly detection; dedicated online compressed air consumption analyses; end-point device compressed air consumption analysis; energy efficiency; machine behaviour; machine degradation parameters; reverse engineering algorithm; Actuators; Algorithm design and analysis; Atmospheric modeling; Energy efficiency; Laboratories; Production; Reverse engineering; clusterisation; compressed air systems; control systems; energy efficiency; serial data analisys;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700385
  • Filename
    6700385